Authors: Kamalakar Karlapalem, P. Radha Krishna
Tags: 2018, conceptual modeling
The utility and impact of IoTs driven, smart solution is in their ability to react to the changes in the environment by controlling the systems managed by them. In most cases, such controlling depends on the flow of data and events from the sensors to the actionable logic of the smart solutions. The flow of data and control is typically hard-coded and the solutions provided are not flexible enough to cater to evolving requirements of smart solutions. In our solution, we make the data and control flow explicit by modeling them as workflows (with data operators) and bring in bridge workflows to comprehend events from sensor data, and pertinent (aggregated) data for the smart solutions. The smart solutions based on the feedback from sensors can instruct the smart solution controller to change some control parameters and ascertain the impact of events got from bridge workflow. Thus, the data and control loop between sensors and smart solutions and then to the smart controller is orchestrated by the bridge workflows. The detection of events, context, feedback and control actions are done by the workflows (tasks) as per the smart solution requirements. We illustrate our solution through a traffic management solution in a smart city environment.Read the full paper here: https://link.springer.com/chapter/10.1007/978-3-030-00847-5_46
